Social Cybersecurity Research Infrastructure Development: Novel Socio-Computational Methodologies to Model Emerging Cyber-social Threats
Abstract
The aim of this project is to strengthen the Intelligence, Surveillance, and Reconnaissance (ISR) mission by examining, evaluating, measuring, and predicting the threat level of the adversarial information campaigns. A multi-model approach will be developed to analyze adversarial information campaigns conducted on an integrated online information environment (OIE). Specifically, the research will identify key actors, groups, narratives, media integrationstrategies, TTPs deployed by the adversary to disseminate disinformation and conduct influence operations. The research approach will adopt a blend of computational modeling, big ~social~ data, and social science theoretical principles to assess the cyber campaigns and the threats they pose. This in turn will allow analysts know which campaigns counter narratives and counterinformation campaigns could be developed. The models and approaches will be validated and demonstrated on a real-world use case (such as the South China Sea and the Asia-Pacific region). All the models will be transitioned into usable software prototypes with lessons learned being documented.More specifically, the effort will bridge big data and social computing researchcommunities for a synergistic advancement of big data research infrastructure and security for the modern social and communication space. We will develop research informed solutions to surmount challenges in curating and analyzing social media data characterized by its volume, velocity, and variety. Through development of a Mobile Fly Kit, we will conduct training exercises that will help enhance US workforce with skills in the challenging and changing domain of big data analytics, data management, machine learning, and AI with applications insecurity. The proposed effort aims to spark innovation and entrepreneurial aspirations in big data and its applications aligning with the knowledge-based economic development mission of the state of Arkansas. This will not only help develop talent within the state but also retain and acquire talent.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 15, 2019
- Source ID
- N000141912336
Entities
People
- Nitin Agarwal
Organizations
- Office of Naval Research
- United States Navy
- University of Arkansas System